All Papers
34,598 papers found • Page 543 of 692
Conference
Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation
Luca Beurer-Kellner, Marc Fischer, Martin Vechev
Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram
Yeongyeon Na, Minje Park, Yunwon Tae et al.
GVGEN: Text-to-3D Generation with Volumetric Representation
Xianglong He, Junyi Chen, Sida Peng et al.
GxVAEs: Two Joint VAEs Generate Hit Molecules from Gene Expression Profiles
Chen Li, Yoshihiro Yamanishi
H2GFormer: Horizontal-to-Global Voxel Transformer for 3D Semantic Scene Completion
Yu Wang, Chao Tong
H2O-SDF: Two-phase Learning for 3D Indoor Reconstruction using Object Surface Fields
Minyoung Park, MIRAE DO, Yeon Jae Shin et al.
Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots
Xavier Puig, Eric Undersander, Andrew Szot et al.
Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation
Mukul Khanna, Yongsen Mao, Hanxiao Jiang et al.
HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation
QiHao Xu, Xiaoling Luo, Chao Huang et al.
HAC: Hash-grid Assisted Context for 3D Gaussian Splatting Compression
Yihang Chen, Qianyi Wu, Weiyao Lin et al.
HAGO-Net: Hierarchical Geometric Massage Passing for Molecular Representation Learning
Hongbin Pei, Taile Chen, Chen A et al.
HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding
Zhaorun Chen, Zhuokai Zhao, HONGYIN LUO et al.
HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data
Qifan Yu, Juncheng Li, Longhui Wei et al.
Hallucination Augmented Contrastive Learning for Multimodal Large Language Model
Chaoya Jiang, Haiyang Xu, Mengfan Dong et al.
HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models
Tianrui Guan, Fuxiao Liu, Xiyang Wu et al.
HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning
Zhecan Wang, Garrett Bingham, Adams Wei Yu et al.
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
Andrey Bryutkin, Jiahao Huang, Zhongying Deng et al.
HandBooster: Boosting 3D Hand-Mesh Reconstruction by Conditional Synthesis and Sampling of Hand-Object Interactions
Hao Xu, Li Haipeng, Yinqiao Wang et al.
Hand-Centric Motion Refinement for 3D Hand-Object Interaction via Hierarchical Spatial-Temporal Modeling
Yuze Hao, Jianrong Zhang, Tao Zhuo et al.
HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimation
WENCAN CHENG, Eun-Ji Kim, Jong Hwan Ko
HandDGP: Camera-Space Hand Mesh Prediction with Differentiable Global Positioning
Eugene Valassakis, Guillermo Garcia-Hernando
HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud
WENCAN CHENG, Hao Tang, Luc Van Gool et al.
HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances
Supreeth Narasimhaswamy, Uttaran Bhattacharya, Xiang Chen et al.
Handling Heterogeneous Curvatures in Bandit LQR Control
Yu-Hu Yan, Jing Wang, Peng Zhao
Handling The Non-Smooth Challenge in Tensor SVD: A Multi-Objective Tensor Recovery Framework
Jingjing Zheng, Wanglong Lu, Wenzhe Wang et al.
Hard-Constrained Deep Learning for Climate Downscaling
Paula Harder, Alex Hernandez-Garcia, Venkatesh Ramesh et al.
HardMo: A Large-Scale Hardcase Dataset for Motion Capture
Jiaqi Liao, Chuanchen Luo, Yinuo Du et al.
Hardness of Random Reordered Encodings of Parity for Resolution and CDCL
Leroy Chew, Alexis de Colnet, Friedrich Slivovsky et al.
Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation
Louis Mahon, Thomas Lukasiewicz
Hard Tasks First: Multi-Task Reinforcement Learning Through Task Scheduling
MYUNG-SIK CHO, Jong Eui Park, Suyoung Lee et al.
HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors
Xiao Wang, Zongzhen Wu, Bo Jiang et al.
HARIVO: Harnessing Text-to-Image Models for Video Generation
Mingi Kwon, Seoung Wug Oh, Yang Zhou et al.
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal
Mantas Mazeika, Long Phan, Xuwang Yin et al.
HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning
Shengchao Hu, Ziqing Fan, Li Shen et al.
Harmonic Self-Conditioned Flow Matching for joint Multi-Ligand Docking and Binding Site Design
Hannes Stärk, Bowen Jing, Regina Barzilay et al.
Harmonizing Generalization and Personalization in Federated Prompt Learning
Tianyu Cui, Hongxia Li, Jingya Wang et al.
Harmonizing knowledge Transfer in Neural Network with Unified Distillation
yaomin huang, faming Fang, Zaoming Yan et al.
HarmonyDream: Task Harmonization Inside World Models
Haoyu Ma, Jialong Wu, Ningya Feng et al.
Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis
Stefan Horoi, Albert Manuel Orozco Camacho, Eugene Belilovsky et al.
HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3D
Sangmin Woo, byeongjun park, Hyojun Go et al.
Harnessing Density Ratios for Online Reinforcement Learning
Philip Amortila, Dylan Foster, Nan Jiang et al.
Harnessing Edge Information for Improved Robustness in Vision Transformers
Yanxi Li, Chengbin Du, Chang Xu
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning
Xiaoxin He, Xavier Bresson, Thomas Laurent et al.
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition
Zhiyong Yang, Qianqian Xu, Zitai Wang et al.
Harnessing Holistic Discourse Features and Triadic Interaction for Sentiment Quadruple Extraction in Dialogues
Bobo Li, Hao Fei, Lizi Liao et al.
Harnessing Joint Rain-/Detail-aware Representations to Eliminate Intricate Rains
Wu Ran, Peirong Ma, Zhiquan He et al.
Harnessing Large Language Models for Training-free Video Anomaly Detection
Luca Zanella, Willi Menapace, Massimiliano Mancini et al.
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models
Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli et al.
Harnessing Meta-Learning for Improving Full-Frame Video Stabilization
Muhammad Kashif Ali, Eun Woo Im, Dongjin Kim et al.
Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning
Depeng Li, Tianqi Wang, Junwei Chen et al.